MOSIX: A Cluster Load-Balancing Solution for Linux
Software clustering technologies have been evolving for the past few years and are currently gaining a lot of momentum for several reasons. These reasons include the benefits of deploying commodity, off-the-shelf hardware (high-power PCs at low prices), using inexpensive high-speed networking such as fast Ethernet, as well as the resulting benefits of using Linux. Linux appears to be an excellent choice for its robust kernel, the flexibility it offers, the various networking features it supports and the early availability of its IP releases.
With the growth of the popularity of clustering technologies, we decided to start a project that aims at finding and prototyping the necessary technology to prove the feasibility of a clustered Linux internet server that demonstrates telecom-grade characteristics. Thus, a star was born, and it was called ARIES (advanced research on internet e-servers).
ARIES started at the Ericsson Core Unit of Research in January 2000, and its objective was to use the Linux kernel as the base technology and to rely on open-source software to build the desirable system with characteristics that include guaranteed availability and response time, linear scalability, high performance and the capability of maintaining the system without any impacts on its availability.
Traffic distribution and load balancing were two main areas of investigation. The strategy followed was to survey the open-source world, check the available solutions in those areas, test them and determine to what extent they meet our requirements for the targeted near telecom-grade Linux internet server.
This article covers our experience with MOSIX, a software package developed at the Hebrew University of Jerusalem. We expose the MOSIX technology, the algorithms developed and how they operate and describe how we installed MOSIX on an experimental Linux cluster. We also discuss MOSIX's strengths and weaknesses in order to help others decide if MOSIX is right for them.
MOSIX is a software package for Linux that transforms independent Linux machines into a cluster that works like a single system and performs load balancing for a particular process across the nodes of the cluster. MOSIX was designed to enhance the Linux kernel with cluster computing capabilities and to provide means for efficient management of the cluster-wide resources. It consists of kernel-level, adaptive resource sharing algorithms that are geared for high performance, overhead free scalability and ease of use of a scalable computing cluster.
The core of MOSIX is its capability to make multiple server nodes work cooperatively as if part of a single system. MOSIX's algorithms are designed to respond to variations in the resource usage among the nodes by migrating processes from one node to another, pre-emptively and transparently, for load balancing and to prevent memory exhaustion at any node. By doing so, MOSIX improves the overall performance by dynamically distributing and redistributing the workload and the resources among the nodes in the cluster.
MOSIX operates transparently to the applications and allows the execution of sequential and parallel applications without regard for where the processes are running or what other cluster users are doing.
Shortly after the creation of a new process, MOSIX attempts to assign it to the best available node at that time. MOSIX then continues to monitor the new process, as well as all the other processes, and will move it among the nodes to maximize the overall performance. This is done without changing the Linux interface, and users can continue to see (and control) their processes as if they run on their local node.
Users can monitor the process migration and memory usages on the nodes using QPS, a contributed program that is not part of MOSIX but supports MOSIX-specific fields. QPS is a visual process manager, an X11 version of “top” and “ps” that displays processes in a window and allows the user to sort and manipulate them. It supports special fields (see Figure 1) such as on which node a process was started, on which node it is currently running, the percentage of memory it is using and its current working directory.
Since MOSIX's algorithms are decentralized, each node is both a master for processes that were created locally and a server for processes that migrated from other nodes. This implies that nodes can be added or removed from the cluster at any time, with minimal disturbances to the running processes.
MOSIX improves the overall performance by better utilizing the network-wide resources and by making the system easier to use. MOSIX's system image model is based on the home-node model. In this model, all the user's processes seem to run at the user's login-node. Each new process is created at the same node(s) as its parent process. Processes that have migrated interact with the user's environment through the user's home-node, but where possible, they use local resources. As long as the load of the user's login-node remains below a threshold value, all the user's processes are confined to that node. However, when this load rises above a threshold value, some processes may be migrated (transparently) to other nodes.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- Designing Electronics with Linux
- New Products
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Dynamic DNS—an Object Lesson in Problem Solving
- Using Salt Stack and Vagrant for Drupal Development
- Validate an E-Mail Address with PHP, the Right Way
- Tech Tip: Really Simple HTTP Server with Python
- Build a Skype Server for Your Home Phone System
- Why Python?
- A Topic for Discussion - Open Source Feature-Richness?
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?





47 min 11 sec ago
4 hours 49 min ago
8 hours 36 min ago
8 hours 44 min ago
10 hours 58 min ago
13 hours 28 min ago
23 hours 31 min ago
1 day 3 hours ago
1 day 7 hours ago
1 day 8 hours ago